





'''simple docstring'''

import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


lowercase__		:     str			=							logging.get_logger(__name__)

lowercase__		:     Dict			=							{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase__		:     str			=							{
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

lowercase__		:     Optional[int]			=							{
    'squeezebert/squeezebert-uncased': 5_12,
    'squeezebert/squeezebert-mnli': 5_12,
    'squeezebert/squeezebert-mnli-headless': 5_12,
}


lowercase__		:     Optional[Any]			=							{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}
class 							__lowerCAmelCase	(       __magic_name__					):






       """simple docstring"""
       _snake_case      :	Union[str, Any]									=       VOCAB_FILES_NAMES
       _snake_case      :	List[Any]									=       PRETRAINED_VOCAB_FILES_MAP
       _snake_case      :	Dict									=       PRETRAINED_INIT_CONFIGURATION
       _snake_case      :	str									=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       _snake_case      :	int									=       SqueezeBertTokenizer





       def __init__(				self  :						Union[str, Any]			,					lowerCAmelCase__  :						Any=None			,					lowerCAmelCase__  :						Optional[Any]=None			,					lowerCAmelCase__  :						int=True			,					lowerCAmelCase__  :						Tuple="[UNK]"			,					lowerCAmelCase__  :						Union[str, Any]="[SEP]"			,					lowerCAmelCase__  :						int="[PAD]"			,					lowerCAmelCase__  :						str="[CLS]"			,					lowerCAmelCase__  :						Any="[MASK]"			,					lowerCAmelCase__  :						List[str]=True			,					lowerCAmelCase__  :						Optional[int]=None			,					**lowerCAmelCase__  :						Any			,					)       ->	Optional[int]:

            '''simple docstring'''




            super().__init__(
                lowerCAmelCase__			,					tokenizer_file=lowerCAmelCase__			,					do_lower_case=lowerCAmelCase__			,					unk_token=lowerCAmelCase__			,					sep_token=lowerCAmelCase__			,					pad_token=lowerCAmelCase__			,					cls_token=lowerCAmelCase__			,					mask_token=lowerCAmelCase__			,					tokenize_chinese_chars=lowerCAmelCase__			,					strip_accents=lowerCAmelCase__			,					**lowerCAmelCase__			,					)

            _UpperCamelCase							       =			json.loads(self.backend_tokenizer.normalizer.__getstate__()	)
            if (
                normalizer_state.get('''lowercase'''			,					lowerCAmelCase__	) != do_lower_case
                or normalizer_state.get('''strip_accents'''			,					lowerCAmelCase__	) != strip_accents
                or normalizer_state.get('''handle_chinese_chars'''			,					lowerCAmelCase__	) != tokenize_chinese_chars
            ):
                 _UpperCamelCase							       =			getattr(lowerCAmelCase__			,					normalizer_state.pop('''type'''	)	)
                 _UpperCamelCase							       =			do_lower_case
                 _UpperCamelCase							       =			strip_accents
                 _UpperCamelCase							       =			tokenize_chinese_chars
                 _UpperCamelCase							       =			normalizer_class(**lowerCAmelCase__	)

            _UpperCamelCase							       =			do_lower_case





       def snake_case__		(				self  :						Union[str, Any]			,					lowerCAmelCase__  :						Dict			,					lowerCAmelCase__  :						Any=None	)       ->	Any:

            '''simple docstring'''




            _UpperCamelCase							       =			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

            if token_ids_a:
                 output += token_ids_a + [self.sep_token_id]

            return output





       def snake_case__		(				self  :						List[Any]			,					lowerCAmelCase__  :						List[int]			,					lowerCAmelCase__  :						Optional[List[int]] = None	)       ->	List[int]:

            '''simple docstring'''




            _UpperCamelCase							       =			[self.sep_token_id]
            _UpperCamelCase							       =			[self.cls_token_id]
            if token_ids_a is None:
                 return len(cls + token_ids_a + sep	) * [0]
            return len(cls + token_ids_a + sep	) * [0] + len(token_ids_a + sep	) * [1]







       def snake_case__		(				self  :						int			,					lowerCAmelCase__  :						str			,					lowerCAmelCase__  :						Optional[str] = None	)       ->	Tuple[str]:

            '''simple docstring'''




            _UpperCamelCase							       =			self._tokenizer.model.save(lowerCAmelCase__			,					name=lowerCAmelCase__	)
            return tuple(lowerCAmelCase__	)




"""simple docstring"""



import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE__:int									=			logging.get_logger(__name__)






class  snake_case__      (       snake_case_       ):


 def __init__( self    ,		*lowerCamelCase    ,		**lowerCamelCase						):
        warnings.warn(
            "The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
            " Please use DeformableDetrImageProcessor instead."    ,		lowerCamelCase    ,		)
        super().__init__(*lowerCamelCase    ,		**lowerCamelCase						)
